Teruko Danjo
Impact in
-
- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Neuroscience and Neuropharmacology Research 7
- Neurotransmitter Receptor Influence on Behavior 3
- Nerve injury and regeneration 1
-
- Receptor Mechanisms and Signaling 3
- Co-authors
- Shigetada Nakanishi (4 shared papers)Takatoshi Hikida (4 shared papers)Takashi Yamaguchi (3 shared papers)Satoshi Yawata (3 shared papers)Taro Toyoizumi (1 shared paper)Shigeyoshi Fujisawa (1 shared paper)Ira Pastan (1 shared paper)Yoshiki Sasai (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)PLoS ONE (2 papers)Current Biology (1 paper)Science (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Teruko Danjo
11 papers receiving 902 citations
Peers
Comparison fields: 5 of 87
- Cellular and Molecular Neuroscience 510
- Developmental Neuroscience 110
- Cognitive Neuroscience 330
- Behavioral Neuroscience 44
- Endocrine and Autonomic Systems 46
Countries citing papers authored by Teruko Danjo
This map shows the geographic impact of Teruko Danjo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Teruko Danjo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teruko Danjo more than expected).
Fields of papers citing papers by Teruko Danjo
This network shows the impact of papers produced by Teruko Danjo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Teruko Danjo. The network helps show where Teruko Danjo may publish in the future.
Co-authors
The 25 scholars most cited alongside Teruko Danjo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 141 | |
| 2 | 2018 | 139 | |
| 3 | 2013 | 139 | |
| 4 | 2014 | 118 | |
| 5 | 2012 | 99 | |
| 6 | 2012 | 93 | |
| 7 | 2012 | 71 | |
| 8 | 2015 | 52 | |
| 9 | 2013 | 26 | |
| 10 | 2019 | 20 | |
| 11 | 2023 | 13 |
About Teruko Danjo
Teruko Danjo is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Developmental Neuroscience and Cell Biology, having authored 11 papers that have together received 911 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Receptor Mechanisms and Signaling (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Memory and Neural Mechanisms (2 papers), Neural dynamics and brain function (2 papers), Integrated Circuits and Semiconductor Failure Analysis (1 paper) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (510 citations), Developmental Neuroscience (110 citations), Cognitive Neuroscience (330 citations), Behavioral Neuroscience (44 citations) and Endocrine and Autonomic Systems (46 citations). Teruko Danjo has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Shigetada Nakanishi, Takatoshi Hikida, Takashi Yamaguchi, Satoshi Yawata, Taro Toyoizumi, Shigeyoshi Fujisawa, Ira Pastan, Yoshiki Sasai, Mototsugu Eiraku and Kazuo Funabiki. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE, Current Biology, Science and Journal of Biological Chemistry.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.